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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Print: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v50.i1.30
pages 39-53

Geometric and Variational Model Order Reduction Methods. Comparative Analysis

Vyacheslav F. Gubarev
Institute of Space Research National Academy of Sciences of Ukraine State Space Agency of Ukraine Kiev, Ukraine
Vladislav V. Fatenko
National Technical University of Ukraine "Igor Sikorsky Kiev Polytechnic Institute", Kiev

ABSTRACT

Numerical methods for solving model order reduction problem of complex system of large-scale dimension based on geometric and variational approaches are considered and studied. Methods comparative analysis is performed and recommendations for their practical applications are made.


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